/Image-Denoising-State-of-the-art

Image Denoising State-of-the-art

A curated list of image denoising resources and a benchmark for image denoising approaches.

State-of-the-art algorithms

Filter

  • BD3M [Web] [Code] [PDF]
    • Image restoration by sparse 3D transform-domain collaborative filtering (SPIE Electronic Imaging 2008), Dabov et al.
  • Activity-tuned Image Filtering [PDF]
    • Local Activity-tuned Image Filtering for Noise Removal and Image Smoothing (Arxiv 2017), Lijun Zhao, Jie Liang, Huihui Bai, Lili Meng, Anhong Wang, and Yao Zhao.

Sparse Coding

  • KSVD [Web] [Code] [PDF]
    • Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries (TIP2006), Elad et al.
  • NCSR [Web] [Code] [PDF]
    • Nonlocally Centralized Sparse Representation for Image Restoration (TIP2012), Dong et al.
  • LSSC [Web] [Code] [PDF]
    • Non-local Sparse Models for Image Restoration (ICCV2009), Mairal et al.
  • GSR [Web] [Code] [PDF]
    • Group-based Sparse Representation for Image Restoration (TIP2014), Zhang et al.

Effective Prior

  • EPLL [Web] [Code] [PDF]
    • From Learning Models of Natural Image Patches to Whole Image Restoration (ICCV2011), Zoran et al.
  • GHP [[Web]][Code] [PDF]
    • Texture Enhanced Image Denoising via Gradient Histogram Preservation (CVPR2013), Zuo et al.  

Low Rank

  • SAIST [Web] [Code] [PDF]
    • Nonlocal image restoration with bilateral variance estimation: a low-rank approach (TIP2013), Dong et al.
  • WNNM [Web] [Code] [PDF]
    • Weighted Nuclear Norm Minimization with Application to Image Denoising (CVPR2014), Gu et al.
  • Multi-channel Weighted Nuclear Norm [PDF]
    • Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising (Arxiv 2017), Jun Xu, Lei Zhang, David Zhang, and Xiangchu Feng.

Deep Learning

  • TNRD [Web] [Code] [PDF]
    • Trainable nonlinear reaction diffusion: A flexible framework for fast and effective image restoration (TPAMI2016), Chen et al.
  • DnCNN [Web] [PDF]
    • Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP2017), Zhang et al.
  • DAAM [Web] [PDF]
    • Deeply Aggregated Alternating Minimization for Image Restoration (Arxiv2016), Youngjung Kim et al.
  • Adversirial Denoising [PDF]
    • Image Denoising via CNNs: An Adversarial Approach (Arxiv2017), Nithish Divakar, R. Venkatesh Babu.
  • Unrolled Optimization Deep Priors [PDF]
    • Unrolled Optimization with Deep Priors (Arxiv2017), Steven Diamond, Vincent Sitzmann, Felix Heide, Gordon Wetzstein.
  • Wider Network [PDF]
    • Going Wider with Convolution for Image Denoising (Arxiv2017), Peng Liu, Ruogu Fang.
  • Recurrent Inference Machines [PDF]
    • Recurrent Inference Machines for Solving Inverse Problems, Patrick Putzky, Max Welling.
  • Learning Pixel-Distribution Prior [PDF]
    • Learning Pixel-Distribution Prior with Wider Convolution for Image Denoising (Arxiv2017), Peng Liu, Ruogu Fang.

Combined with High-Level Tasks

  • Meets High-level Tasks [PDF] [Code]
    • When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach (Arxiv2017), Ding Liu, Bihan Wen, Xianming Liu, Thomas S. Huang.
  • Class-Specific Denoising [PDF]
    • Class-Specific Poisson Denoising By Patch-Based Importance Sampling (Arxiv2017), Milad Niknejad, Jose M. Bioucas-Dias, Mario A. T. Figueiredo.

Benchmark

  • Benchmark [PDF]
    • Benchmarking Denoising Algorithms with Real Photographs (Arxiv2017), Tobias Plotz, Stefan Roth.